Argitalpenak (82) Ángel Rubio Díaz-Cordoves argitalpenak Ikerketa datu erreferentziatuak ikusi.

2023

  1. Discovering the mechanism of action of drugs with a sparse explainable network

    eBioMedicine, Vol. 95

  2. Precision oncology: a review to assess interpretability in several explainable methods

    Briefings in Bioinformatics, Vol. 24, Núm. 4

2022

  1. BOSO: A novel feature selection algorithm for linear regression with high-dimensional data

    PLoS Computational Biology, Vol. 18, Núm. 5

  2. EventPointer 3.0: flexible and accurate splicing analysis that includes studying the differential usage of protein-domains

    NAR Genomics and Bioinformatics, Vol. 4, Núm. 3

  3. Explainable artificial intelligence for precision medicine in acute myeloid leukemia

    Frontiers in Immunology, Vol. 13

  4. Identifying Lethal Dependencies with HUGE Predictive Power

    Cancers, Vol. 14, Núm. 13

  5. On the identifiability of the isoform deconvolution problem: Application to select the proper fragment length in an RNA-seq library

    Bioinformatics, Vol. 38, Núm. 6, pp. 1491-1496

  6. Rediscover: an R package to identify mutually exclusive mutations

    Bioinformatics, Vol. 38, Núm. 3, pp. 844-845

  7. SOX9 Triggers Different Epithelial to Mesenchymal Transition States to Promote Pancreatic Cancer Progression

    Cancers, Vol. 14, Núm. 4

2021

  1. An extended reconstruction of human gut microbiota metabolism of dietary compounds

    Nature Communications, Vol. 12, Núm. 1

  2. Comparison of Typical Controllers for Direct Yaw Moment Control Applied on an Electric Race Car

    Vehicles, Vol. 3, Núm. 1, pp. 127-144

2020

  1. Drugsniper, a tool to exploit loss-of-function screens, identifies CREBBP as a predictive biomarker of VOLASERTIB in small cell lung carcinoma (SCLC)

    Cancers, Vol. 12, Núm. 7, pp. 1-18

  2. ISOGO: Functional annotation of protein-coding splice variants

    Scientific Reports, Vol. 10, Núm. 1

  3. Integration of CRISPR-Cas9, shRNA with other genomic data provides reliable predicions of gene essentiality

    EBioMedicine

2019

  1. Integration of CLIP experiments of RNA-binding proteins: A novel approach to predict context-dependent splicing factors from transcriptomic data

    BMC Genomics, Vol. 20, Núm. 1

  2. TranscriptAchilles: A genome-wide platform to predict isoform biomarkers of gene essentiality in cancer

    GigaScience, Vol. 8, Núm. 4

2018

  1. Comparison of RNA-seq and microarray platforms for splice event detection using a cross-platform algorithm

    BMC Genomics, Vol. 19, Núm. 1

  2. The aberrant splicing of BAF45d links splicing regulation and transcription in glioblastoma

    Neuro-Oncology, Vol. 20, Núm. 7, pp. 930-941

  3. Upstream analysis of alternative splicing: A review of computational approaches to predict context-dependent splicing factors

    Briefings in Bioinformatics, Vol. 20, Núm. 4, pp. 1358-1375

2017

  1. In-silico gene essentiality analysis of polyamine biosynthesis reveals APRT as a potential target in cancer

    Scientific Reports, Vol. 7, Núm. 1